Staying active is one of the most important things you can do for your health. Regular exercise helps you live longer, lowers ...

But a research team is using machine learning ... help guide future health recommendations. "I expected that factors like gender, BMI, race or age would be important for our prediction model ...

and Lorisco Life LLC (“Lorisco”), a health prediction company using modern proteomics and machine learning to accurately forecast health events, today announced a new partnership and product ...

One of the most common surgical complications is postoperative pain that persists long after the surgical incision has healed ...

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

Methods: Using the ... by applying similar prediction methods to living individuals, developing time-to-death prediction models, and including data on IBD treatment regimes. We demonstrated that, ...

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions ... where it can make health care more efficient ...

Early identification of patients at risk of PPD could improve proactive mental health support ... developed a machine learning model that can evaluate patients' PPD risk using readily accessible ...

A team led by Jeffrey Rothschild tracked 43 endurance athletes for up to 12 weeks, feeding reams of data into a series of machine learning ... had their best predictions using muscle soreness ...

Objective This study reviewed the current state of machine learning (ML ... an F1 score of 94.4% using XGBoost.36 These examples emphasise the need for clinical relevance regarding ML research for ...